Reduced combustion mechanism for C1–C4 hydrocarbons and its application in computational fluid dynamics flare modeling

Emissions from flares constitute unburned hydrocarbons, carbon monoxide (CO), soot, and other partially burned and altered hydrocarbons along with carbon dioxide (CO₂) and water. Soot or visible smoke is of particular concern for flare operators/regulatory agencies. The goal of the study is to develop a computational fluid dynamics (CFD) model capable of predicting flare combustion efficiency (CE) and soot emission. Since detailed combustion mechanisms are too complicated for (CFD) application, a 50-species reduced mechanism, LU 3.0.1, was developed. LU 3.0.1 is capable of handling C₄ hydrocarbons and soot precursor species (C₂H₂, C₂H₄, C₆H₆). The new reduced mechanism LU 3.0.1 was first validated against experimental performance indicators: laminar flame speed, adiabatic flame temperature, and ignition delay. Further, CFD simulations using LU 3.0.1 were run to predict soot emission and CE of air-assisted flare tests conducted in 2010 in Tulsa, Oklahoma, using ANSYS Fluent software. Results of non-premixed probability density function (PDF) model and eddy dissipation concept (EDC) model are discussed. It is also noteworthy that when used in conjunction with the EDC turbulence-chemistry model, LU 3.0.1 can reasonably predict volatile organic compound (VOC) emissions as well.

Implications: A reduced combustion mechanism containing 50 C₁–C₄ species and soot precursors has been developed and validated against experimental data. The combustion mechanism is then employed in the computational fluid dynamics (CFD) of modeling of soot emission and combustion efficiency (CE) of controlled flares for which experimental soot and CE data are available. The validated CFD modeling tools are useful for oil, gas, and chemical industries to comply with U.S. Environmental Protection Agency’s (EPA) mandate to achieve smokeless flaring with a high CE.     

垃圾填埋场渗滤液生物处理尾水的性质研究

采用多种先进测试分析仪器对不同月份的垃圾填埋场渗滤液生物处理尾水(简称渗滤液尾水)进行了全面的分析.结果表明,经生物处理后的渗滤液尾水难以进一步生物降解,仍然有很强的污染性,COD和NH3-N仍分别高达419～622、12.4～174.0 mg/L,未达到国家排放标准,且仍含有多种环境优先控制污染物.除有机物外,渗滤液尾水中还有部分无机类物质贡献COD,TN主要由无机氮构成.渗滤液生物处理的效果与温度关系密切,6、9月的处理效果明显好于3、12月.     

用Co3O4催化剂光催化氧化活性染料

以沉淀一热解法制备了纳米级Co3O4催化剂,并用X射线衍射仪、红外光谱仪对Co3O4催化剂进行了表征。以300W高压汞灯为光源,研究了Co3O4催化剂对不同活性染料的光催化氧化活性。实验结果表明：在活性染料质量浓度为20mg／L、250mL染料溶液中Co3O4催化剂加入量为150mg、反应2h的条件下,Co3O4催化剂对B—GFF黑、B—RN蓝、K—NR艳蓝3种活性染料溶液的脱色率分别为95％,87％,77％;适当加入酸或碱有利于提高处理效率,反应后染料溶液的pH为7．12～8．37,染料溶液初始pH为10．00时的脱色率最高为100％;Co3O4催化剂具有一定的再利用价值。     

嘉兴市内河河网污染治理方案的比较分析

从宏观的角度出发,采用经简化后的箱子模型和混合单元系列模型,估算了嘉兴市内河河网区域水系的环境容量;分析了分散处理和集中处理两个治理方案在不同的截污率、降雨径流、外围来水等因素下对内河河网的治理效果和水质改善情况以及水质治理目标的可达性。1河网水质模型1．1箱子模型把河网当作一个大的混合均匀的水箱,根据守恒原理得到以下关系式：＿＿＿＿＿＿d（VC）o。。ci。－o。。to＋co。一kVC一一一一一（）、。。v;。、O。t～l“～P—”～dt对流输入输出降雨降解储存量变化率式中：C一系统混合均匀后的物质浓度;C;。一人…     

活性污泥硝化过程的动态响应信号

把pH值在线监测与药品自动投加系统与已开发的混合呼吸测量仪集成,组成自动呼吸-滴定测量仪,同时测得废水生物处理过程溶解氧（DO）、pH、氧气利用速率（OUR）和质子变化速率（HVR）。分别监测了只投加NH4＋-N底物的活性污泥硝化过程和实验室脱氮除碳SBR曝气阶段的DO/pH响应,结果显示,两信号呈一定规律变化,在反应...     

热处理和pH调节协同作用下污泥调质过程研究

采用单因素实验和正交实验相结合的方式,考察了不同实验条件参数（温度、pH和反应时间）下,热处理和pH调节对污泥细胞溶出过程的影响。结果表明,污泥溶解性化学需氧量（SCOD）与反应温度、溶液pH、反应时间成正相关,其中pH对SCOD的影响最为显著,反应时间对其影响最小。污泥溶胞的最优条件：反应温度120℃,pH=11,反应时间为15 min,经过处理,SCOD可达14 810 mg/L,与总化学需氧量（TCOD）之比为49.29%,总有机碳（TOC）达4 560 mg/L,总氮（TN）则增加27%,总悬浮固体（TSS）和挥发性悬浮固体（VSS）去除率分别达22.85%和40.93%。热碱处理后污泥上清液分子量分布（MWD）状况结果显示：〉1 000 KDa MW物质含量随pH和温度的增加而增加,当pH=11时,该部分物质可从原污泥的20.94%增加到31.70%;当温度为120℃时,该部分物质可达49.83%。     

Air pollution perception in ten countries during the COVID-19 pandemic

As largely documented in the literature, the stark restrictions enforced worldwide in 2020 to curb the COVID-19 pandemic also curtailed the production of air pollutants to some extent. This study investigates the perception of the air pollution as assessed by individuals located in ten countries: Australia, Brazil, China, Ghana, India, Iran, Italy, Norway, South Africa and the USA. The perceptions towards air quality were evaluated by employing an online survey administered in May 2020. Participants (N = 9394) in the ten countries expressed their opinions according to a Likert-scale response. A reduction in pollutant concentration was clearly perceived, albeit to a different extent, by all populations. The survey participants located in India and Italy perceived the largest drop in the air pollution concentration; conversely, the smallest variation was perceived among Chinese and Norwegian respondents. Among all the demographic indicators considered, only gender proved to be statistically significant.Supplementary InformationThe online version contains supplementary material available at 10.1007/s13280-021-01574-2.     

曝气生物流化池生物强化处理高氨氮制革废水研究

以曝气生物流化池(ABFT)I艺为核心,通过投加高效菌酶添加剂(简称菌荆)的方法对高氨氮制革废水进行生物强化处理研究.结果表明,在菌剂投加量为0.4 kg/m3,总水力停留时间为32 h(其中生化处理段水力停留时间为29 h)条件下,菌剂投加10 d后氨氮的去除率可达80.2%,25 d后系统即可稳定运行;出水氨氮平均为4.8 mg/L,去除率为98.8%;出水COD平均为137 mg/L,去除率为76.4%.无机碳化合物和生长因子对硝化反应有促进作用,使氨氮的去除率提高约6.6%.该结果显示了ABFT工艺在处理高氨氮制革废水上具有明显优势.     

不同回流比对无植物垂直流人工湿地除氮效果的影响

通过内碳源前置反硝化脱氮工艺试验,比较了不同回流比对垂直流人工湿地除氮效果的影响。试验结果表明,TN去除率随着回流比增加而增加,NH⁺₄-N去除率则随着回流比的增加先降低后增加的趋势,两者去除率之和以回流比200％为最高,以回流比150％次之,以回流比100％为最低。从TN的去除率来看,回流比150％略高于回流比200％。     

Multivariate Condition Assessment of Watersheds with Linked Micromaps

A challenge for statewide stream monitoring is visualizing the spatial and statistical characteristics of such data to compare the biotic condition of watersheds and relate that condition to watershed‐level estimates of instream variables. We used linked micromaps on stream survey data of 25 subbasins (766‐5,982 km²) for biotic condition, nine water quality, and two habitat variables. Subbasin biotic condition was negatively correlated with conductivity, magnesium and sulfate concentrations, and weakly positively correlated with habitat scores of sedimentation and embeddedness, with higher scores indicating better habitat. Positive spatial autocorrelation was detected among the subbasins in both habitat variables, iron concentration, pH, and exceedances of fecal coliform criteria as shown in linked micromaps. A spatial principal components analysis reduced the 11 environmental variables to two principal axes. The first axis synthesized a gradient of water quality and habitat scores among the subbasins. Subbasin biotic condition regressed on first axis subbasin scores had a significant, negative slope and accounted for 55% of the variation. Subbasins in degraded biotic condition had elevated conductivities and ion concentrations in northern and southern subbasins, and low habitat scores in western subbasins. Through linked micromaps, we compared the biotic condition among subbasins and identified stressors prevalent among subbasins that affected biotic condition.